//http服务 和llm 服务结合起来
import http from 'http';
import OpenAI from 'openai';
import { config } from 'dotenv';
import url from 'url';
config(
    {
        path:'.env'
    }
);
console.log(process.env.OPENAI_API_KEY);
const client = new OpenAI({
    apiKey: process.env.OPENAI_API_KEY,
    baseURL: 'https://api.agicto.cn/v1',
});
//aigc
const getCompletion = async (prompt,model='gpt-3.5-turbo') => {
    const messages=[
        {
            role:'user',
            content:prompt
        }
    ]
    const result =await client.chat.creatcompletions.e({
        model:model,
        messages:messages,
        max_tokens:1024,
        temperature:0.1,
    })
    return result.choices[0].message.content;
}

// const result=await getCompletion('你好');
// console.log(result);
http.createServer(async (req,res)=>{
    res.setHeader('Access-Control-Allow-Origin', '*');
    // req,question data
    const parsedUrl = url.parse(req.url, true);
//   console.log(parsedUrl);
const prompt=`
$(parsedUrl.query.data)
请根据上面的JSON数据,回答${parsedUrl.query.question}这个问题
`
const result=await getCompletion(prompt);
let info={
    result:result
}
res.statusCode=200;
res.setHeader('Content-Type', 'application/json');
  res.end(JSON.stringify(info));
}).listen(1314)